hello sir i want to calculate mean square error for my all possible value for the system how to calculate it ?

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irfan
irfan 2016 年 4 月 1 日
コメント済み: irfan 2016 年 4 月 4 日
k0=1;
ss=[0,1,2,3];
kk=0;
poss=[];
for ii=1:d
poss=[poss,k0+(ii-1)*(N/d)];
end
for ii=1:length(poss)
k1=poss(ii);
for jj=ii+1:length(poss)
k2=poss(jj);
kk=kk+1;
k_p(kk,:)=[k1,k2];
A=[1, 1 ; exp(1i*2*pi)*(k1-1)*(ss(2)/N), exp(1i*2*pi)*(k2-1)*(ss(2)/N) ;exp(1i*2*pi)*(k1-1)*(ss(3)/N) , exp(1i*2*pi)*(k2-1)*(ss(3)/N); exp(1i*2*pi)*(k1-1)*(ss(4)/N), exp(1i*2*pi)*(k2-1)*(ss(4)/N)];
XF=pinv(A)*XD(:,1)
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Walter Roberson
Walter Roberson 2016 年 4 月 1 日
Your code is not complete. Some end statements are missing.
What is the mean squared error to be calculated relative to? MSE is used for comparison between two things, not by itself.
What are the parts that are allowed to vary for consideration of "all possible values"? I see that d is not defined so should we take it that f is one of the things that can change?

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Image Analyst
Image Analyst 2016 年 4 月 1 日
There is a function immse() in the Image Processing Toolbox. But like Walter says, you need two signals.
  3 件のコメント
irfan
irfan 2016 年 4 月 4 日
sir i will send you my code so you help me to calculate the mean square error of all possible values

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